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Computer Science A emphasizes object-oriented programming methodology with an emphasis on problem solving and algorithm development and is meant to be the equivalent of a first-semester course in computer science. It also includes the study of data structures and abstraction, but these topics are not covered to the extent that they are covered in Computer Science AB.

To explore some topical applications and technologies such as robotics, artificial intelligence and networking, first examines some of the fundamental aspects of computing including: how a computing machine stores, manipulates and transforms numbers, words, images and sounds, changing them from mere data into useful information; strategies for solving computational problems (algorithmic thinking); expressing computational solutions in various computer languages from assembly through icon-driven graphical languages (4GLs); historical, social and theoretical issues. Includes a weekly hands-on lab through which students experience a variety of computing environments. Two hours of lecture and 2 hours of lab each week. Falls and Springs. Prerequisite(s): Level 2 or 3 on math placement exam or MA 1800 (may be concurrent). (TECH)(TECO)